Search Results for author: Ranim Khojah

Found 2 papers, 1 papers with code

Evaluating N-best Calibration of Natural Language Understanding for Dialogue Systems

1 code implementation SIGDIAL (ACL) 2022 Ranim Khojah, Alexander Berman, Staffan Larsson

A Natural Language Understanding (NLU) component can be used in a dialogue system to perform intent classification, returning an N-best list of hypotheses with corresponding confidence estimates.

Classification intent-classification +2

Beyond Code Generation: An Observational Study of ChatGPT Usage in Software Engineering Practice

no code implementations23 Apr 2024 Ranim Khojah, Mazen Mohamad, Philipp Leitner, Francisco Gomes de Oliveira Neto

Large Language Models (LLMs) are frequently discussed in academia and the general public as support tools for virtually any use case that relies on the production of text, including software engineering.

Chatbot Code Generation

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